Legal claims defining the scope of protection, as filed with the USPTO.
1. A query builder system, comprising: a processor coupled to a memory, the processor configured to execute the following computer-executable components stored in the memory: an interface component that receives input descriptive of a desired test; and a builder component that constructs an abstract test query representation from the input independent of any particular query language to facilitate application of the test query to a specific query language.
2. The system of claim 1 , the input comprises a number of query operators and expressions.
3. The system of claim 1 , further comprising a format component that produces a formatted query specific to a data source from the abstract representation.
4. The system of claim 3 , further comprising a custom component that overrides the format component and derives a specific query language implementation from the abstract representation.
5. The system of claim 3 , further comprising a verification component that facilitates comparison of an expected query result with actual query results to determine query correctness.
6. The system of claim 5 , the verification component computes the expected query result.
7. The system of claim 5 , the verification component delegates computation of the expected query result to a reference system.
8. The system of claim 5 , the custom component overrides the verification component with custom verification for the specific query language implementation.
9. The system of claim 1 , further comprising a component that automatically drives the test query across a variety of data structures.
10. The system of claim 1 , further comprising a component that facilitates derivation of test queries as a function of a model that defines rules and/or actions allowed by a query language.
11. A method of multi-language query testing, comprising: employing at least one processor configured to execute computer-executable instructions stored in memory to perform the following acts: constructing an abstract representation of a test query that is query language independent; generating a query language specific implementation of the query from the abstract representation; and producing a verification scheme for the specific query language to facilitate verification of query results.
12. The method of claim 11 , further comprising driving the query over a set of data to leverage a query scenario over various data.
13. The method of claim 12 , further comprising deriving at least a portion of the test query from a model associated with the specific query language.
14. The method of claim 13 , further comprising affording a mechanism to build the query model to facilitate automatic generation of arbitrarily complex test queries.
15. The method of claim 11 , constructing the representation comprising generating an abstract expression tree including query operators and expressions.
16. The method of claim 11 , comprising generating a verification scheme that delegates generation of an expected result to a reference query engine associated with a query language different from the specific query language.
17. The method of claim 11 , comprising generating a verification scheme that maintains an internal expected cache.
18. The method of claim 11 , further comprising initiating execution of the test query, and employing the verification scheme to determine whether returned results are correct.
19. A query language test system, comprising: means for building an abstract representation of a test query independent of any query language; means for producing a specific query language query from the abstract representation; and means for implementing a verification scheme for the specific query language to facilitate verifying query correctness.
20. The system of claim 19 , further comprising a means of deriving at least a portion of the query from a language specific model and a means for driving data across the query.
Unknown
July 19, 2011
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.